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Why is regression testing critical in data science projects that involve model updates?

hard📝 Conceptual Q10 of 15
Testing Fundamentals - Testing Types and Levels

Why is regression testing critical in data science projects that involve model updates?

ATo increase dataset size automatically
BTo speed up model training time
CTo reduce the number of features used
DTo ensure new model changes do not degrade existing performance or break workflows
Step-by-Step Solution
Solution:
  1. Step 1: Understand regression testing role in model updates

    It verifies that updates do not cause performance drops or errors.
  2. Step 2: Exclude unrelated options

    Speeding training, increasing data, or reducing features are unrelated to regression testing.
  3. Final Answer:

    To ensure new model changes do not degrade existing performance or break workflows -> Option D
  4. Quick Check:

    Regression testing protects model stability [OK]
Quick Trick: Regression testing guards model quality after changes [OK]
Common Mistakes:
  • Confusing testing with training speed
  • Thinking it changes data size
  • Assuming it reduces features

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